• NEW
    Blog
    July 29, 2026

    The pharmaceutical technology market is moving beyond point solutions. For years, providers competed by solving specific problems within individual parts of the value chain. Today, differentiation increasingly depends on how well those solutions can understand context,…
  • Tech Launch Perspective
    July 22, 2026

    Life sciences enterprises are moving beyond isolated generative AI pilots toward governed, multi-agent workflows that support clinical, commercial, and real-world activities. This shift is increasing demand for platforms that combine regulatory-grade data governance, enterprise interoperability, scalable…
  • Provider Recognition
    July 15, 2026

    Pharmaceutical enterprises are accelerating technology investments to modernize operations across the pharmaceutical value chain spanning drug discovery, clinical development, manufacturing, sales and marketing, supply chain and distribution, and pharmacovigilance. As AI, cloud, and data-driven capabilities become…
  • Life Sciences commercial teams have a familiar problem: every few years, the industry finds a new way to create fragmentation.  First came Customer Relationship Management (CRM) add-ons. Then omnichannel tools, content platforms, analytics dashboards, field enablement systems, event platforms,…
  • Artificial Intelligence (AI) is no longer a future disruption. It is already reshaping how industries operate, compete, and create value. Over the past several months, we at Everest Group have spoken extensively with leaders across the Contingent Workforce Management (CWM) ecosystem, including…
  • See Us At
    July 09, 2026

    Join Krishna Sai Charan, Vice President at Everest Group, to explore how Vendor Management Systems (VMS) are evolving from transactional systems of record into AI-powered Systems of Action. Discover how agentic AI and intelligent orchestration are…
  • Blog
    July 08, 2026

    Artificial Intelligence (AI) is having its moment. After years of cautious skepticism, pilot-stage overhang, and boardroom debates, the conversation has moved beyond experimentation. Enterprises are no longer asking whether to deploy agents, they are now asking how fast they can scale them across their entire workflow estate. However, speed comes at a price and almost nobody is doing the math.   The warning signs…
  • Viewpoint
    June 23, 2026

    Organizations today are expected to simultaneously drive growth, improve productivity, optimize costs, strengthen resilience, and accelerate AI adoption. While many have clear strategic priorities and continue to invest in transformation initiatives, execution often falls short because…
  • State of the Market
    June 22, 2026

    Life sciences enterprises are rethinking Customer Relationship Management (CRM) services as commercial transformation becomes more complex, platform-driven, and outcome-focused. As organizations migrate to cloud-based CRM environments, expand their Veeva and Salesforce ecosystems, and navigate increasingly complex…
  • For years, life sciences commercial technology providers sold nouns. Customer Relationship Management (CRM). Analytics. Content. Events. Patient engagement. Next-best-action. Learning. Field enablement.  Each category had its own buyer, its own implementation partner, its own operating model, and often its own dashboard.…
  • PEAK Matrix®
    May 28, 2026

    Vendor Management System (VMS) platforms are becoming increasingly important as enterprises seek to improve visibility, governance, compliance, and efficiency across end-to-end contingent workforce programs, including services procurement and independent contractor management. Organizations across industries and geographies…
  • Thematic Report
    May 28, 2026

    Enterprises are increasingly using contingent workforce programs to access scarce skills, improve agility, and respond to changing business demands. However, many organizations continue to evaluate these programs through narrow measures such as cost savings, compliance, and…
  • Market Insights™
    May 19, 2026

  • Viewpoint
    May 18, 2026

    Talent Acquisition (TA) is structurally disrupting as volatile skill demands, fragmented technology ecosystems, and human-coordinated workflows create persistent gaps between hiring needs and execution capacities. Enterprises struggle to scale TA effectively, with manual coordination across systems…
  • Market Insights™
    May 01, 2026

  • See Us At
    April 23, 2026

    Join Krishna Sai Charan, Vice President at Everest Group, to explore how Agentic AI can eliminate this overhead, enabling recruiters to focus on what truly matters: building relationships, assessing talent, and making better hiring decisions. Register…
  • Viewpoint
    April 20, 2026

    For decades, enterprise background screening functioned as a pre-employment requirement. This approach is changing as enterprises contend with distributed workforces, faster and more complex fraud vectors (including AI-driven impersonation), and increasingly nuanced compliance obligations across geographies.…
  • Viewpoint
    April 01, 2026

    The enterprise talent assessment market has reached an inflection point, with a fragmented landscape of specialized tools consolidating into integrated platforms that promise broader coverage across the talent lifecycle. These assessment technology suites are increasingly positioned…
  • Tech Provider Spotlight
    March 19, 2026

    Life sciences commercial engagement is undergoing a fundamental transformation as enterprises move from siloed, channel-centric models to coordinated, customer-centric omnichannel strategies. Increasing Healthcare Professionals (HCP) access constraints, evolving customer expectations, proliferation of digital channels, and mounting…
  • Tech Launch Perspective
    Feb. 26, 2026

    Life sciences enterprises are under pressure to accelerate research, improve evidence generation, and operationalize AI across clinical and commercial functions. Fragmented data estates, evolving regulatory requirements, and the growing importance of real-world and genomic data are…

Items per page